ReddRadar
Topic: nanoclaw
968 skills in this topic.
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bio-experimental-design-multiple-testing
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-fastq-quality
Work with FASTQ quality scores using Biopython. Use when analyzing read quality, filtering by quality, trimming low-quality bases, or generating quality reports.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-filter-sequences
Filter and select sequences by criteria (length, ID, GC content, patterns) using Biopython. Use when subsetting sequences, removing unwanted records, or selecting by specific criteria.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-flow-cytometry-clustering-phenotyping
Unsupervised clustering and cell type identification for flow/mass cytometry. Covers FlowSOM, Phenograph, and CATALYST workflows. Use when discovering cell populations in high-dimensional cytometry data without predefined gates.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-flow-cytometry-cytometry-qc
Comprehensive quality control for flow cytometry and CyTOF data. Covers flow rate stability, signal drift, margin events, dead cell exclusion, and batch QC. Use when assessing acquisition quality or identifying problematic samples before analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-flow-cytometry-gating-analysis
Manual and automated gating for defining cell populations in flow cytometry. Covers rectangular, polygon, and data-driven gates. Use when identifying cell populations through hierarchical gating strategies.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-fragment-analysis
Analyzes cfDNA fragment size distributions and fragmentomics features using FinaleToolkit or Griffin. Extracts nucleosome positioning patterns, fragment ratios, and DELFI-style fragmentation profiles for cancer detection. Use when leveraging fragment patterns for tumor detection or tissue-of-origin analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-gatk-variant-calling
Variant calling with GATK HaplotypeCaller following best practices. Covers germline SNP/indel calling, GVCF workflow for cohorts, joint genotyping, and variant quality score recalibration (VQSR). Use when calling variants with GATK HaplotypeCaller.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-genome-intervals-bigwig-tracks
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-imaging-mass-cytometry-quality-metrics
Quality metrics for IMC data including signal-to-noise, channel correlation, tissue integrity, and acquisition QC. Use when assessing data quality before analysis or troubleshooting problematic acquisitions.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-machine-learning-survival-analysis
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-metabolomics-targeted-analysis
Targeted metabolomics analysis using MRM/SRM with standard curves. Covers absolute quantification, method validation, and quality assessment. Use when quantifying specific metabolites using calibration curves and internal standards.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-microbiome-differential-abundance
Differential abundance testing for microbiome data using compositionally-aware methods like ALDEx2, ANCOM-BC2, and MaAsLin2. Use when identifying taxa that differ between experimental groups while accounting for the compositional nature of microbiome data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-multi-omics-mofa-integration
Multi-Omics Factor Analysis (MOFA2) for unsupervised integration of multiple data modalities. Identifies shared and view-specific sources of variation. Use when integrating RNA-seq, proteomics, methylation, or other omics to discover latent factors driving biological variation across modalities.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-orchestrator
Meta-agent that routes bioinformatics requests to specialised sub-skills. Handles file type detection, analysis planning, report generation, and reproducibility export.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-pathway-wikipathways
WikiPathways enrichment using clusterProfiler and rWikiPathways. Use when analyzing gene lists against community-curated open-source pathways. Performs over-representation analysis and GSEA for 30+ species.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-pdb-structure-io
Parse and write protein structure files using Biopython Bio.PDB. Use when reading PDB, mmCIF, and MMTF files, downloading structures from RCSB PDB, or writing structures to various formats.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-phasing-imputation-haplotype-phasing
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-phasing-imputation-reference-panels
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-phylo-distance-calculations
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-phylo-modern-tree-inference
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-phylo-tree-manipulation
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-proteomics-dia-analysis
Data-independent acquisition (DIA) proteomics analysis with DIA-NN and other tools. Use when analyzing DIA mass spectrometry data with library-free or library-based workflows for deep proteome profiling.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-read-alignment-hisat2-alignment
FreedomIntelligence/OpenClaw-Medical-Skills 2,009